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» Modeling word burstiness using the Dirichlet distribution
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NIPS
2008
15 years 1 months ago
A Scalable Hierarchical Distributed Language Model
Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...
Andriy Mnih, Geoffrey E. Hinton
COLING
2010
14 years 6 months ago
Word Space Modeling for Measuring Semantic Specificity in Chinese
The aim of this study is to use the word-space model to measure the semantic loads of single verbs, profile verbal lexicon acquisition, and explore the semantic information on Chi...
Ching-Fen Pan, Shu-Kai Hsieh
AUTOMATICA
2006
80views more  AUTOMATICA 2006»
14 years 11 months ago
State estimation over packet dropping networks using multiple description coding
For state estimation over a communication network, efficiency and reliability of the network are critical issues. The presence of packet dropping and communication delay can great...
Zhipu Jin, Vijay Gupta, Richard M. Murray
JMLR
2010
127views more  JMLR 2010»
14 years 6 months ago
Content-based Image Retrieval with Multinomial Relevance Feedback
The paper considers an interactive search paradigm in which at each round a user is presented with a set of k images and is required to select one that is closest to her target. P...
Dorota Glowacka, John Shawe-Taylor
ICML
2007
IEEE
16 years 17 days ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton